以下の詳しいガイドと説明用の事例は英語です。例に含まれる業務データは架空のものです。
Where OpenRouter fits
A bounded AI task with explicit model selection, permitted data and spend.
When to choose another approach
Routing does not guarantee correct answers, lower costs or continuous availability. Provider policies differ.
Worked example and evidence
Fictional assistant: retrieve an approved returns policy, draft a referenced answer and hand uncertain requests to a person. Stop requests at the application’s agreed spend limit.
What you need to supply
Sample questions, permitted documents, data policy, model shortlist, evaluation rubric and spend owner.
What acceptance should demonstrate
Review correctness, unsupported questions, sensitive inputs, provider failure and budget-stop behaviour on a labelled sample set.
Running costs and responsibilities
Track provider charges, routing changes, document updates, privacy settings and human review.
Technical scope to confirm
Logging and retention depend on provider policies and routing settings. Confirm the selected route.
A proposal should identify the systems and data, direction of sync, access feasibility, failure handling, named owners and included deliverables. Listing this technology does not imply a prebuilt connector, vendor partnership or included feature.
How do we control answers and expense?
Limit the task and sources, evaluate outputs, cap usage and provide escalation. Compare a custom prototype with Lumo’s current scope before choosing.